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    Master of Data Science and Decisions
    Go to University of New South Wales
    University of New South Wales

    Master of Data Science and Decisions

    University of New South Wales

    University of New South Wales

    flag

    Australia, Sydney

    University RankQS Ranking
    19

    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Course Code

    0101866

    Credit point

    96 Points

    Campuses

    Kensington

    Program Language

    English

    Start & Deadlines

    Next Intake DeadlinesFebruary-2026
    Apply to this program

    Go to the official application for the university

    Duration 2 year(s)
    Tuition Fee
    AUD 58,500  / year
    Next Intake February-2026

    Master of Data Science and Decisions

    About

    Our world contains an unimaginably vast amount of digital information. Extracting meaning from this data can drive business forward, enable next-generation scientific breakthroughs and produce benefits that make a positive difference in our world. But it’s a challenging task which requires strong skills and training.

    Data scientists are the people with that expertise, which explains why they have become key players in today’s job market. From industries as varied as health, defence, finance, transport and logistics, to agriculture, media and technology, there’s a growing reliance on data science professionals to deliver meaningful business insights. There's a range of reasons to study data and technology.

    Prepare yourself for excellent employment opportunities in this fast-growing field with the Master of Data Science and Decisions. Your study will explore programming languages, problem-solving and processing/interpreting/presenting data using qualitative and quantitative techniques.

    Learn with the best

    • We’re ranked #1 in Australia and #44 in the world for Mathematics.*
    • We’re ranked #1 in Australia and #31 in the world and 1st in Australia for Engineering & Technology.*
    • We're ranked #3 in Australia and #37 in the world for Economics and Econometrics.*

    Harness the expertise of three schools
    You’ll benefit from the expertise of educators across three different schools at UNSW: Mathematics and Statistics, Computer Science and Engineering and Economics.

    Leverage our industry connections
    Advance your career with industry relevant skills and experience. Tap into our network of 400+ industry and research partners to expand your professional connections.

    Join a supportive student community
    At UNSW, equity, diversity and inclusion are integral to our success. We’re also committed to inspiring women to pursue an enriching career path in STEM (Science, Technology, Engineering and Mathematics).

    *QS World University Rankings by Subject 2024

    Requirements

    Entry Requirements

    For entry into this degree, you must have one of the following:

    • a Bachelor of Mathematics
    • a Bachelor of Science with a major in mathematics, statistics or computer science
    • a Bachelor of Data Science and Decisions
    • an undergraduate degree in a cognate discipline as determined by the program authority

    You also need to have a sufficient background in mathematics and/or statistics and/or data science, as indicated by an average of 70 or above in appropriate level III university courses.

    In addition, you must have permission of the Head of School or Nominee to be admitted into the program.

    English Program Requirements

    Faculty Undergraduate Postgraduate coursework Postgraduate research
    Medicine & Health

    6.5 overall (min. 6.0 in each subtest)

     

    Exceptions:

    • Bachelor of Nutrition/Master of Dietetics & Food Innovation: 7.0 overall (min 7.0 in each subtest)

    The following programs require 7.0 overall (min 6.0 in each subtest)

    • Bachelor of Medical Studies (BMed)/Doctor of Medicine (MD) including double degree
    • Bachelor of Exercise Science/Master of Physiotherapy & Exercise Physiology
    • Bachelor of Pharmaceutical Medicine/Master of Pharmacy
    • Bachelor of Applied Exercise Science/Master of Clinical Exercise Physiology

    6.5 overall (min. 6.0 in each subtest)

     

    Exceptions:

    • Graduate Certificate in Myopia Management:7.0 overall (min 6.0 in each subtest)

    6.5 overall (min 6.0 in each subtest)

    Career

    Future careers

    The era of Big Data

    With quintillion bytes of data generated each day, it’s safe to say that we’re in the era of big data. Social media, the Internet of Things (IoT), machine learning and artificial intelligence are driving the trends in data and influencing the role of data scientists.

    As the big data boom rolls on, your skills will be central to a range of roles in information-rich industries including:

    • internet search
    • fraud detection
    • targeted advertising
    • logistics planning
    • speech recognition
    • image analysis
    • genetic risk prediction
    • virtual reality
    • customer loyalty
    • product development
    • autonomous vehicles.

    What does a career in this field look like?

    Data science is a multidisciplinary field of study that blends mathematical methods, statistics, computing, business decisions and communication. Data scientists translate user data into insights that help companies understand their audience and personalise their products or services. Uncovering new insights and predicting trends has become vital in the retail, environmental, not-for-profit, IT and professional services sector.

    Career opportunities in data science span across many industries from start-ups to established corporations including Coles, AirBnB, Spotify, Netflix and Greenpeace, to name a few. As a data scientist, you might be asked to calculate the price of new products for the market, determine warehouse or retail employee schedules, make predictions of environmental phenomena and model the spread of new diseases.

    Fee Information

    Tuition Fee

    AUD 58,500 

    Application Fee

    AUD  
    University of New South Wales

    Master of Data Science and Decisions

    University of New South Wales

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    Australia,

    Sydney

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